Ronghua Du
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View article: Developing an Industry-Aligned Curriculum for Aviation Manufacturing Education
Developing an Industry-Aligned Curriculum for Aviation Manufacturing Education Open
This study examines a curriculum system developed at the College of Aviation Manufacturing Industry at Nanchang Hangkong University through Industry-Education Integration (I-E Integration). Drawing on engineering education principles and r…
View article: CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph Open
Local Attention-guided Message Passing Mechanism (LAMP) adopted in Graph Attention Networks (GATs) is designed to adaptively learn the importance of neighboring nodes for better local aggregation on the graph, which can bring the represent…
View article: Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting
Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting Open
Traffic flow forecasting is an important function of intelligent transportation systems. With the rise of deep learning, building traffic flow prediction models based on deep neural networks has become a current research hotspot. Most of t…
View article: Enhancing Force Control of Prosthetic Controller for Hand Prosthesis by Mimicking Biological Properties
Enhancing Force Control of Prosthetic Controller for Hand Prosthesis by Mimicking Biological Properties Open
Prosthetic hands are frequently rejected due to frustrations in daily uses. By adopting principles of human neuromuscular control, it could potentially achieve human-like compliance in hand functions, thereby improving functionality in pro…
View article: Review of the Flight Control Method of a Bird-like Flapping-Wing Air Vehicle
Review of the Flight Control Method of a Bird-like Flapping-Wing Air Vehicle Open
The Bird-like Flapping-wing Air Vehicle (BFAV) is a robotic innovation that emulates the flight patterns of birds. In comparison to fixed-wing and rotary-wing air vehicles, the BFAV offers superior attributes such as stealth, enhanced mane…
View article: Ollivier–Ricci Curvature Based Spatio-Temporal Graph Neural Networks for Traffic Flow Forecasting
Ollivier–Ricci Curvature Based Spatio-Temporal Graph Neural Networks for Traffic Flow Forecasting Open
Traffic flow forecasting is a basic function of intelligent transportation systems, and the accuracy of prediction is of great significance for traffic management and urban planning. The main difficulty of traffic flow predictions is that …
View article: Optical simulator design for hardware in loop testing of medium and long range angles-only navigation of spacecraft
Optical simulator design for hardware in loop testing of medium and long range angles-only navigation of spacecraft Open
设计了一种航天器中远距仅测角导航硬件在环测试的光学模拟器，可对仅测角导航视觉传感器的硬件、软件和算法的性能及可靠性进行验证。首先对该光学模拟器进行了系统描述，包括硬件组成和星图模拟软件设计。硬件选用的都是商用、现成的部组件，可大幅节约研发成本，缩短开发周期。其次，重点阐述屏幕亮度与恒星星等之间的关系，以及该光学模拟器的光学原理。最后对该光学模拟器的星图模拟进行实验测试，并介绍了一种基于Clohessy-Wiltshire (CW)方程的仅测角导航模型，用于硬件在环测试。验证…
View article: Energy Management Strategy of Phev Based on Velocity Prediction Fused Driving Intention and Lidar
Energy Management Strategy of Phev Based on Velocity Prediction Fused Driving Intention and Lidar Open
View article: Energy storage economy research and sensitivity analysis applied to photovoltaic primary frequency modulation scenario
Energy storage economy research and sensitivity analysis applied to photovoltaic primary frequency modulation scenario Open
In practical engineering applications, the investment, income, subsidies and other costs of energy storage batteries have a certain impact on the overall economic benefits of primary frequency modulation. The larger the capacity of the con…
View article: An adaptive compensation control method for the transmission error of the mechanical system based on the characteristic model
An adaptive compensation control method for the transmission error of the mechanical system based on the characteristic model Open
View article: Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples
Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples Open
In recent years, using a self-supervised learning framework to learn the general characteristics of graphs has been considered a promising paradigm for graph representation learning. The core of self-supervised learning strategies for grap…
View article: A selection scheme for energy storage to participate in primary frequency regulation of new energy
A selection scheme for energy storage to participate in primary frequency regulation of new energy Open
The choice of energy storage is the key content of the energy storage plan and design to participate in the primary frequency regulation of new energy. It involves many indicators such as safety, primary frequency modulation adaptability, …
View article: STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph Open
The key to traffic prediction is to accurately depict the temporal dynamics of traffic flow traveling in a road network, so it is important to model the spatial dependence of the road network. The essence of spatial dependence is to accura…
View article: Research on Trajectory Tracking Control of Autonomous Vehicle Based on MPC with Variable Predictive Horizon
Research on Trajectory Tracking Control of Autonomous Vehicle Based on MPC with Variable Predictive Horizon Open
摘要: 为了保证自动驾驶汽车轨迹跟踪的精度及行驶过程中的稳定性,提出一种基于车辆横向稳定状态在线识别和模糊算法的变预测时域模型预测控制(MPC)方法。针对车辆稳定状态的在线识别,采用k-means聚类算法对车辆行驶状态参数进行聚类分析,得到聚类质心,通过在线对比当前车辆状态量与不同聚类质心之间的欧氏距离获取车辆的实时安全等级。同时计算出当前车辆的轨迹跟踪横向偏移量,以这二者为输入,通过模糊控制算法在线计算出预测时域的变化量并输出给MPC控制器实现预测时域的自适应调整,最后求…
View article: Design of Anti-impact Vehicle-road Energy Harvesting Bump and Self-powered Traffic Control
Design of Anti-impact Vehicle-road Energy Harvesting Bump and Self-powered Traffic Control Open
View article: A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting Open
Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system. However, it remains challenging considering the complex spatial and temporal dependencies among tra…
View article: A Review of Research on Intersection Control Based on Connected Vehicles and Data-Driven Intelligent Approaches
A Review of Research on Intersection Control Based on Connected Vehicles and Data-Driven Intelligent Approaches Open
Benefiting from the application of vehicle communication networks and new technologies, such as connected vehicles, video monitoring, automated vehicles and vehicle–road collaboration, traffic network data can be observed in real-time. App…
View article: An Integrated Algorithm for Intersection Queue Length Estimation Based on IoT in a Mixed Traffic Scenario
An Integrated Algorithm for Intersection Queue Length Estimation Based on IoT in a Mixed Traffic Scenario Open
Nowadays, traffic infrastructures and vehicles are connected through the network benefiting from the development of Internet of Things (IoT). Connected automated cars can provide some useful traffic information. An architecture and algorit…
View article: Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor
Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor Open
In order to identify the abnormal road surface condition efficiently and at low cost, a road surface condition recognition method is proposed based on the vibration acceleration generated by a smartphone when the vehicle passes through the…
View article: Simultaneous Optimization of Vehicle Arrival Time and Signal Timings within a Connected Vehicle Environment
Simultaneous Optimization of Vehicle Arrival Time and Signal Timings within a Connected Vehicle Environment Open
Most existing signal timing plans are optimized given vehicles’ arrival time (i.e., the time for the upcoming vehicles to arrive at the stop line) as exogenous input. In this paper, based on the connected vehicle (CV) technique, vehicles c…
View article: Conditional Artificial Potential Field-Based Autonomous Vehicle Safety Control with Interference of Lane Changing in Mixed Traffic Scenario
Conditional Artificial Potential Field-Based Autonomous Vehicle Safety Control with Interference of Lane Changing in Mixed Traffic Scenario Open
Car-following is an essential trajectory control strategy for the autonomous vehicle, which not only improves traffic efficiency, but also reduces fuel consumption and emissions. However, the prediction of lane change intentions in adjacen…
View article: Connected Vehicle as a Mobile Sensor for Real Time Queue Length at Signalized Intersections
Connected Vehicle as a Mobile Sensor for Real Time Queue Length at Signalized Intersections Open
With the development of intelligent transportation system (ITS) and vehicle to X (V2X), the connected vehicle is capable of sensing a great deal of useful traffic information, such as queue length at intersections. Aiming to solve the prob…
View article: Optimal Route Algorithm Considering Traffic Light and Energy Consumption
Optimal Route Algorithm Considering Traffic Light and Energy Consumption Open
Vehicle speed trajectory and traffic signals significantly impact vehicle's fuel consumption and travel time in the urban road network. In this paper, we proposed an optimal vehicle routing algorithm that takes the waiting time at signaliz…